A spatial autoregressive stochastic frontier model for panel data incorporating a model of technical inefficiency

By integrating Battese and Coelli’s (1995) model and the spatial autoregressive model (SAR), a spatial autoregressive stochastic frontier model for panel data is developed. The main feature of this frontier model is a spatial lag term of explained variables and the joint structure of a production possibility frontier with a model of technical inefficiency. The model addresses both spatial dependence and heteroskedastic technical inefficiency. This study applies maximum likelihood methods considering the endogenous spatial lag term. The proposed model nests several existing models. Further, an empirical analysis using data on the Japanese manufacturing industry is conducted and the existing models are tested against the proposed model, which is found to be statistically supported. The findings suggest that estimates in the existing spatial and non-spatial models may exhibit bias because of lack of determinants of technical inefficiency, as well as a spatial lag. This bias also affects the technical efficiency score and its ranking.     

市场化程度对花卉产业组织影响实证分析

以刘易斯市场规模分析框架为基础,采用2008—2014年中国各省区市花卉产业的面板数据,对市场化进程与花卉产业组织的关系进行实证分析,结果表明:市场化程度对企业数量、小企业数量和小企业比例具有正向影响作用,市场化是促进花卉产业组织演化的重要因素,有利于优化花卉产业组织的规模和结构。因此,政府应该从市场组织与制度完善角度维护好市场竞争秩序,企业应该提升核心竞争力而不是简单扩大规模。     

政企分开政策驱动下国有森工企业转型路径研究

回顾了国家的林业政策,梳理了黑龙江国有森工企业的转型要素,分析了国有森工企业转型发展路径的影响因素。基于政企分开的政策因素与企业的发展需要,结合国有森工企业转型存在的现实问题,分别从企业转型能力、企业转型意愿和企业转型方向3个方面阐述政企分开政策对国有森工企业转型的驱动作用。在此基础上,提出在政企分开政策驱动下国有森工企业转型发展的实现路径,并从重新定位政府与市场关系、注重培育国有森工企业内部组织平台化转型路径和构建品牌转型路径3个方面进行国有森工企业转型发展的路径研究。     

Digitalisation,automation and upgrading in global value chains – factory economy actors versus lead companies

This article investigates the differences in the application and impact of digital technologies between manufacturing subsidiaries and lead companies, the principal orchestrators of global automotive value chains. Utilising a dataset of 10 in-depth interviews with automotive industry actors, we analyse headquarters–subsidiary differences in the patterns of digitalisation-driven upgrading. A theoretical framework is offered that explains why the significant upgrading achievements of manufacturing subsidiaries deploying industry 4.0 technologies will not reduce the gap between lead companies and manufacturing subsidiaries in terms of value generation. We show that the concept of ‘industry 4.0’ is much narrower than that of ‘digitalisation’ and transition to smart factories is only part of the digital transformation story. Industry 4.0 technologies contribute to the upgrading of operations, and enable subsidiaries to take on production-related knowledge-intensive assignments (functional upgrading). Conversely, digitalisation serves lead companies’ strategic differentiation efforts, and facilitates achieving competitive advantage: the latter are crucial for value capture.     

Understanding consumers' purchase intentions toward natural‐claimed products: A qualitative research in personal care products

In recent years there is a trend of consuming natural products for a sustainable and healthier life. Therefore, firms began aligning their strategy with sustainability by communication strategies that they produce natural products, which are better for health as well as the environmental sustainability. However, sometimes these claims may be deceptive. The purpose of this paper is to understand the consumers' purchasing intentions toward products claiming naturalness in their advertising and packaging strategies. This research also examined greenwashing perceptions and their potential roles in purchasing intentions. In‐depth face‐to‐face interviews carried out with 20 Turkish women regarding personal care products (local brand and international brand). The findings of the interviews revealed eight themes (perceived greenwashing, perceived green image, price perception, environmental concern, green trust, skepticism, perceived risk, and purchase intention). This study contributes to predict a framework from consumer viewpoint for identifying the themes related to greenwashing.     

关于推进南疆农业结构调整的思考

[目的]新时期,加快推进南疆农业产业结构调整,促进农牧民全面实现脱贫致富奔小康,实现农业可持续发展,是推进南疆经济社会发展的重要手段。通过分析南疆地区水土资源条件和农业产业结构,提出推动南疆农业结构调整的发展方向和重点领域,并提出相应的政策建议。[方法]文章系统梳理南疆农业结构调整相关文献的基础上,通过实地调研和调阅南疆地区农业部门相关资料,全面分析南疆水资源利用、农牧业生产、农产品加工等方面面临的问题,提出针对性措施。[结果]南疆水资源处于过度开发状态,通过压减种植面积或调整种植结构节水空间十分有限,饲草料短缺矛盾较为突出,种养不平衡凸显,农产品加工业滞后,产业结构不合理。[结论]推进南疆农业结构调整,重点是加强水利工程建设提高骨干输水工程防渗率,发展高效节水农业,强化草畜配套平衡,大力发展农产品精深加工,推进农业产业化发展。     

区域制造业空间效应及生产性服务业发展模式选择

通过空间计量模型考察生产性服务业发展模式与制造业集聚的空间溢出效应后发现:生产性服务业专业化水平及多样化水平与制造业集聚呈倒U型关系,同时城市化水平会对服务业发展模式与制造业集聚关系产生影响。分区域模型研究发现,生产性服务业对制造业全要素生产率影响因区域经济发展水平、产业层次、要素禀赋等因素有所差异,东部地区制造业全要素生产率与生产性服务业呈线性关系,适合选择多样化发展模式;中部地区呈倒U型关系,现阶段中部地区生产性服务业更适合选择多样化发展模式;西部地区生产性服务业发展水平与制造业全要素生产率呈正U型关系,生产性服务业专业化和多样化发展都将促进制造业全要素生产率提升。     

Assessing cost‐effectiveness when environmental benefits are bundled: agricultural water management in Great Barrier Reef catchments

Using economic analysis to prioritise improvements in environmental conditions is particularly difficult when multiple benefits are involved. This includes ‘bundling’ issues in agricultural pollution management, where a change in management action or farming systems generates multiple improvements, such as reductions in more than one pollutant. In this study, we conceptualise and compare two different approaches to analysing cost‐effectiveness when varying bundles of benefits are generated for a single project investment. Each approach requires data to be transformed in some way to allow the analysis to proceed. The index approach requires the transformation on the benefits side so that the effects of multiple pollutant changes can be combined into a measure for each project which can then be compared to costs. By comparison, the disaggregation approach requires the transformation on the costs side where costs for each project have to be apportioned across the different pollutants involved. The paper provides novel insights with an application to agricultural water quality improvements into the Great Barrier Reef in Australia, demonstrating that while both approaches are effective in prioritising projects by cost‐effectiveness, the disaggregation approach provides more insightful results and values that may be relevant for use as upper value guidelines in future project selection.     

Size and value effects in high-tech industries: The role of R&D investment

We use monthly US stock data over 55 years from 1962 to 2017 to show that the R&D intensity at firms adds another important dimension to the size and value effects in describing stock returns, especially for small high-tech firms. A trading strategy that double sorts on R&D intensity and size or book-to-market ratio outperforms a simple small-minus-big (SMB) or high-minus-low (HML) strategy in producing higher and more significant portfolio returns. The most profitable schemes involve triple sorts by size, BM, and R&D intensity: the payoffs of buying high-BM/R&D-Active portfolio and selling low-BM/R&D-Inactive portfolio in the small-size/high-tech group and that of buying high-tech/high-BM and selling low-tech/low-BM in the small-size/R&D-active group generate a return of more than 2% on a monthly basis. Our results are robust to alternative classification method of assigning stocks in portfolios.